Catastrophic forgetting is a problem of neural networks that loses the information of the first
task after training the second task. Here, we propose a method, ie incremental moment …

The requirements of Human Factors and Ergonomics (HF/E) in engineering design must be
satisfied, including usability, safety, reliability, and operability in the workplace and work …

Deep Learning models have achieved remarkable performance in tasks such as image
classification or generation, often surpassing human accuracy. However, they can struggle …

Smart textiles can be used as innovative solutions to amuse, meaningfully engage, comfort,
entertain, stimulate, and to overall improve the quality of life for people living in care homes …

摘要近年来, 随着深度神经网络的快速发展, 它在越来越多的领域中有了广泛的应用.
深度神经网络模型在处理有序列依赖关系的预测问题时, 需要利用之前学习到的信息进行记忆 …

Smart cities are one of the emerging domains for computational applications. Many of these
applications may benefit from the ubiquitous computing paradigm to provide better services …

Stress is a physical, mental, or emotional response to a change and is a significant problem
in modern society. In addition to questionnaires, levels of stress may be assessed by …

Deep Learning models have achieved remarkable performance in tasks such as image
classification or generation, often surpassing human accuracy. However, they can struggle …

This paper describes a search through a variety of methods to inspect and understand the
internal dynamics of gated recurrent neural networks, using a task focusing on a key feature …

1950 년대에 컴퓨터의 등장과 함께 탄생한 인공지능 (Artificial Intelligence, Al) 3-X| ł 60o. 59 h
5-ZHZļ9] 큰 파러다임을 탐구하였다. 초기 30 년 동안 (1960-1990) 의 제 1 기 기호주의 …